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library(tidyverse)
# Install Package to combine date and time
library(lubridate)
wego <- read_csv("../data/Route 50 Timepoint and Headway Data, 1-1-2023 through 5-12-2025.csv")
wego
# Create new date time column
wego$DATE_TIME <- ymd(wego$DATE) + hms(wego$SCHEDULED_TIME)
# Examine Data
wego
# Filter February TSP values
feb3_10_tsp <- wego |>
filter(between(DATE_TIME,
as.Date("2025-02-03 12:00:00"),
as.Date("2025-02-10 12:00:00")))
# Filter Feb-Apr TSP with busses only 2 minutes late or more
feb10_apr28_tsp <- wego |>
filter(between(DATE_TIME,
as.Date("2025-02-10 12:00:00"),
as.Date("2025-04-28 12:00:00"))) |>
filter(ADHERENCE <= -2)
# Filter May TSP values
may5_12_tsp <- wego |>
filter(between(DATE_TIME,
as.Date("2025-05-05 12:00:00"),
as.Date("2025-05-12 12:00:00")))
# Add day of week column
wego <- wego |>
mutate(
DATE_TIME = as.POSIXct(DATE_TIME),
DAY_OF_WEEK = wday(DATE_TIME,
label = TRUE,
abbr = FALSE))
wego
NA
# Combine tsp variables into one
tsp_rows <- bind_rows(
feb3_10_tsp,
feb10_apr28_tsp,
may5_12_tsp
) |>
select('ADHERENCE_ID', 'DATE_TIME') |>
distinct() |>
mutate(tsp = 1) # Add tsp indicator column for each distinct adherence id
wego <- wego |>
left_join(
tsp_rows,
by = c('ADHERENCE_ID', 'DATE_TIME')
) |>
mutate(tsp = coalesce(tsp, 0))
wego |> view()
wego |> mutate(
tsp_indicator = if_else(
between(DATE_TIME,
as.Date("2025-02-03 12:00:00"),
as.Date("2025-02-10 12:00:00")) |
(between(DATE_TIME,
as.Date("2025-02-10 12:00:00"),
as.Date("2025-04-28 12:00:00")) &
ADHERENCE <= -2) |
between(DATE_TIME,
as.Date("2025-05-05 12:00:00"),
as.Date("2025-05-12 12:00:00")), 1, 0)
)
NA
wego <- wego |> mutate(
HOUR = hms(SCHEDULED_TIME) |>
hour()
)
# avg adherence based on time of day
wego |>
mutate(
time_of_day = case_when(
between(HOUR, 4, 5) ~ "early_morning",
between(HOUR, 6, 8) ~ "morning_peak",
between(HOUR, 9, 14) ~ "midday",
between(HOUR, 15, 17) ~ "pm_peak",
between(HOUR, 18, 20) ~ "evening",
between(HOUR, 21, 23) ~ "late_night",
between(HOUR, 0, 3) ~ "late_night",
.default = "other"
)
)
NA
NA
NA
NA
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